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Impact of Data Entry Interface Design on Cognitive Workload, Documentation Correctness, and Documentation Efficiency.

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Patient Safety

Background:

  • Clinical documentation is vital for patient care and legal records.
  • Poorly designed electronic health record (EHR) interfaces can lead to errors, impacting patient safety.
  • Understanding user interface (UI) effects on documentation is crucial for improving healthcare.

Purpose of the Study:

  • To assess the impact of different computer-assisted data entry types on anesthesia provider documentation.
  • To analyze documentation correctness, efficiency, and cognitive workload using eye-tracking technology.
  • To evaluate the usability of various EHR interface elements.

Main Methods:

  • Employed an artificial electronic health record (EHR) simulation with eye-tracking hardware.
  • Recruited 20 anesthesia providers to perform documentation tasks.
  • Compared data entry methods: drop-down boxes, radio buttons, check-boxes, and free text with autocomplete.

Main Results:

  • Significant differences observed in documentation correctness and efficiency across various data entry types.
  • Eye-tracking data indicated varying levels of cognitive workload associated with each interface.
  • Free text with autocomplete showed potential for improved efficiency but required further analysis for accuracy.

Conclusions:

  • EHR interface design critically influences documentation quality and provider cognitive load.
  • The study methodology can be adapted to evaluate other healthcare professionals and EHR systems.
  • Optimizing EHR data entry interfaces is essential for enhancing patient safety and clinical decision-making.